Best Video Analytics Software

Compare the Top Video Analytics Software as of February 2026

What is Video Analytics Software?

Video analytics software uses advanced algorithms and artificial intelligence (AI) to analyze and extract meaningful insights from video footage. These platforms can process real-time video streams or recorded content to identify patterns, detect anomalies, and provide actionable information. Features often include object recognition, motion detection, facial recognition, people counting, behavior analysis, and event detection. Video analytics software is commonly used in security surveillance, retail for customer behavior analysis, traffic management, and industrial applications for monitoring processes. It helps businesses improve operational efficiency, enhance security, and make data-driven decisions based on visual content. Compare and read user reviews of the best Video Analytics software currently available using the table below. This list is updated regularly.

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    Google Cloud Video AI
    Precise video analysis that recognizes over 20,000 objects, places, and actions in video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Gain near real-time insights with streaming video annotation and object-based event triggers. Build engaging customer experiences with highlight reels, recommendations, and more. Recognize over 20,000 objects, places, and actions in stored and streaming video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Search your video catalog the same way you search documents. Extract metadata that can be used to index, organize, and search your video content, as well as control and filter content for what’s most relevant. Gain insights from video in near real-time using streaming video annotation and trigger events based on objects detected.
    Starting Price: $0.10 per minute
  • 2
    Google Cloud Vision AI
    Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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